Poster Sessions
Bibliographic record
Abstract
Previously, we have shown that indole-3-carbinol (I3C), a compound derived from cruciferous vegetable, inhibits different inflammatory mediators in lipopolysaccharide (LPS)-activated macrophages and suppresses angiogenic markers in vascular endothelial cells.Because the activated macrophages may release angiogenic factors to induce angiogenesis, the aim of this study was to investigate the effects I3C on activated macrophage-induced angiogenesis.In cocultivated macrophages and vascular endothelial cells, LPS significantly enhanced nitric oxide (NO) production and tube formation, whereas cotreatment with I3C inhibited such enhancement.To clarify the roles of I3C on macrophages, the macrophages were treated with LPS as well as I3C or NO synthase inhibitor, Nitro-L-arginine methyl ester (L-NAME), and the treated condition medium (CM) was used to cultivate vascular endothelial cells.The results indicated that I3C or L-NAME containing CM significantly inhibited CM-stimulated tube formation, vascular endothelial growth factor (VEGF) secretion, and matrix metalloproteinase-9 (MMP-9) activity.To understand the effects of I3C or L-NAME on vascular endothelial cells, the LPSactivated macrophage CM was used to cultivate vascular endothelial cells in the presence of I3C or L-NAME.The results showed that I3C and L-NAME inhibited CM-induced NO production, tube formation, VEGF secretion and, MMP-9 activity in vascular endothelial cells.In summary, we demonstrate that the cruciferous vegetable derivative, I3C, not only inhibits LPS stimulated macrophage activation but also affects vascular endothelial cells to inhibit macrophage-induced angiogenesis, and such effect is dependent upon NO production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.740 | 0.529 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".